Authors: Sonia Malik, Nripender Singh, Rohit Anand
Many mobile devices compress images to meet limited bandwidth requirements and adopt Block Discrete Cosine Transform. This produces visually annoying artifacts in these highly compressed images. Most of the artifact reduction techniques blur the details of the images while removing coding artifacts. In this paper, we propose a novel and explicit approach for reducing coding artifacts in an image by using the combination of SAWS equation and Fuzzy Rules. We use FIDRM for the detection of noisy pixel and NAFSM filter for correction. Experimental results demonstrate that the proposed approach achieves excellent visual quality and PSNR as compared to a number of deblocking methods in the literature.
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[v1] 2014-05-07 03:36:01
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